Mostrando ítems 1-10 de 10

    • Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF–SVM–Based Model 

      García Nieto, Paulino José; García-Gonzalo, Esperanza; Sánchez Lasheras, Fernando; Bernardo Sánchez, Antonio (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2020)
      The purpose of chromium plating is the creation of a hard and wear-resistant layer of chromium over a metallic surface. The principal feature of chromium plating is its endurance in the face of the wear and corrosion. This ...
    • Deep Multi-Model Fusion for Human Activity Recognition Using Evolutionary Algorithms 

      Verma, Kamal Kant; Singh, Brij Mohan (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)
      Machine recognition of the human activities is an active research area in computer vision. In previous study, either one or two types of modalities have been used to handle this task. However, the grouping of maximum ...
    • Effect of optimization framework on rigid and non-rigid multimodal image registration 

      Chakraborty, Sayan; Pradhan, Ratika; Dey, Nilanjan; González-Crespo, Rubén; Tavares, Joao Manuel R. S. (Scienceasias, 2022)
      The process of transforming or aligning two images is known as image registration. In the present era, image registration is one of the most popular transformation tools in case of, for example, satellite as well as medical ...
    • Exploratory Boosted Feature Selection and Neural Network Framework for Depression Classification 

      Arun, Vanishri; Krishna, Murali; Arunkumar, B V; Padma, S K; Shyam (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      Depression is a burdensome psychiatric disease common in low and middle income countries causing disability, morbidity and mortality in late life. In this study, we demonstrate a novel approach for detection of depression ...
    • Modelling and control of fuzzy-based systems using intelligent water drop algorithm 

      Dass, Anuli; Srivastava, Smriti; Gupta, Monika; Khari, Manju; Parra Fuente, Javier; Verdú, Elena (Expert Systems, 2023)
      Identification and controlling of non-linear and complex dynamical systems have been a major concern and a serious topic of study in the field of adaptive control systems. Various techniques based on artificial intelligence ...
    • Nature Inspired Range Based Wireless Sensor Node Localization Algorithms 

      Arora, Sankalap; Kaur, Ranjit (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      Localization is one of the most important factors highly desirable for the performance of Wireless Sensor Network (WSN). Localization can be stated as the estimation of the location of the sensor nodes in sensor network. ...
    • Probabilistic Load Flow Solution Considering Optimal Allocation of SVC in Radial Distribution System 

      Ahmed, Walaa; Selim, Ali; Kamel, Salah; Yu, Juan; Jurado, Francisco (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2018)
      This paper proposes a solution procedure for probabilistic load flow problem considering the optimal allocation of Static Var Compensator (SVC) in radial distribution systems. Pareto Envelope-based Selection Algorithm II ...
    • Self-Organized Hybrid Wireless Sensor Network for Finding Randomly Moving Target in Unknown Environment 

      Nighot, Mininath; Ghatol, Ashok; Thakare, Vilas (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2018)
      Unknown target search, in an unknown environment, is a complex problem in Wireless Sensor Network (WSN). It does not have a linear solution when target’s location and searching space is unknown. For the past few years, ...
    • Smart Algorithms to Control a Variable Speed Wind Turbine 

      Farhane, Nabil; Boumhidi, Ismail; Boumhidi, Jaouad (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2017)
      In this paper, a robust adaptive fuzzy neural network sliding mode (AFNNSM) control design is proposed to maximize the captured energy for a variable speed wind turbine and to minimize the efforts of the drive shaft. Fuzzy ...
    • TKU-PSO: An Efficient Particle Swarm Optimization Model for Top-K High-Utility Itemset Mining 

      Carstensen, Simen; Chun-Wei Lin, Jerry (International Journal of Interactive Multimedia and Artificial Intelligence, 01/2024)
      Top-k high-utility itemset mining (top- HUIM) is a data mining procedure used to identify the most valuable patterns within transactional data. Although many algorithms are proposed for this purpose, they require substantial ...